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Assistive Technology

The Official Journal of RESNA

ISSN: 1040-0435 (Print) 1949-3614 (Online) Journal homepage: https://www.tandfonline.com/loi/uaty20

The effect of technology assisted therapy for

intellectually and visually impaired adults

suffering from separation anxiety: Conquering the

fear

N. Hoffman, P. S. Sterkenburg & E. Van Rensburg

To cite this article: N. Hoffman, P. S. Sterkenburg & E. Van Rensburg (2019) The effect of technology assisted therapy for intellectually and visually impaired adults suffering from separation anxiety: Conquering the fear, Assistive Technology, 31:2, 98-105, DOI: 10.1080/10400435.2017.1371813

To link to this article: https://doi.org/10.1080/10400435.2017.1371813

© 2017 N. Hoffman, P. S. Sterkenburg, and E. Van Rensburg. Published with license by Taylor & Francis

Accepted author version posted online: 16 Oct 2017.

Published online: 02 Nov 2017. Submit your article to this journal

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The effect of technology assisted therapy for intellectually and visually impaired

adults suffering from separation anxiety: Conquering the fear

N. Hoffman, MAa, P. S. Sterkenburg, PhD b,c, and E. Van Rensburg, PhDd

aDepartment of Psychiatry and Mental Health, University of Cape Town, Observatory, Cape Town, South Africa;bDepartment of Clinical Child and

Family Studies and Amsterdam Public Health Research Institute (APH), Faculty of Behavior and Movement Sciences, Amsterdam, The Netherlands;

cBartiméus, AB Doorn, The Netherlands;dSchool of Psychosocial Behavioral Sciences, North-West University, Potchefstroom Campus, Potchefstroom,

South Africa

ABSTRACT

Persons with an intellectual disability (ID) are at risk of developing separation anxiety (SA) and, if left untreated, this can be a risk factor for the development of psychopathology. The effects of an intervention, namely technology assisted therapy for SA (TTSA), were examined on the SA, challenging behavior, psychosocial functioning, and quality of life (QOL) experienced by moderate to mild intellec-tually and visually disabled adults. This study aimed to determine whether TTSA reduces SA and challenging behavior in persons with ID and visual impairment, and if this results in increased psycho-social functioning and QOL. A pre-experimental within-group design with randomized multiple base-lines and staggered intervention start-points was used (n = 6). The variables were monitored with standardized instruments. The frequencies of each participant’s use of the technology and the frequency and intensity of their behavior were recorded over time. Results indicate that the SA and challenging behavior experienced by the participants decreased significantly and their psychosocial functioning and QOL increased significantly. The conclusions are that TTSA has the potential to be a valid intervention to address SA in adults with visual and moderate to mild IDs.

ARTICLE HISTORY Accepted 21 August 2017 KEYWORDS cognitive impairment; communication; developmental disability; psychosocial functioning; quality of life; separation anxiety; technology; visual impairment

Introduction

Persons with an intellectual disability (ID) are at risk of devel-oping separation anxiety (SA; Emerson, 2003; Emerson & Hatton,2007). This can be explained by insecure attachment relationships, which are more often found among people with ID than among their normally developed peers (Clegg & Sheard,

2002). The limited cognitive skills characteristic of ID is identi-fied by Janssen, Schuengel, and Stolk (2002) as a risk factor for the development of an insecure attachment relationship in this population. An insecure attachment relationship, in turn, might put this population at risk for developing psychopathology, including SA (Greenberg, 1999). The limited cognitive skills typically found in persons with ID are developmental delays regarding object and person permanence, and identifying and selecting attachment behavior to suit the situation (Cassidy,

1999). A visual impairment may cause a delay in this cognitive development, resulting in the development of object perma-nence being delayed by up to 10 months (Bals, Gringhuis, Moonen, & Van Woudenberg, 2002; Rogers & Pulchalski,

1988). Limitations regarding these cognitive skills may thus cause persons with ID and a visual impairment to function in a nearly fixed condition of separation distress (Janssen et al.,

2002). SA is up to four times more prevalent among children and adolescents with ID compared to those without ID

(Emerson,2003; Emerson & Hatton,2007) and, if left untreated, it can be a risk factor for the development of comorbid psycho-pathology later in life (Greenberg,1999). However, little research has been done on the treatment of SA among persons with ID, and even less on the treatment of persons with ID with a comorbid visual impairment (Hagopian & Jennet,2008).

Research indicates that existing therapy techniques for treat-ing anxiety can be applied to persons with ID (Didden et al.,

2012; Hagopian & Jennet,2008), but these focus primarily on phobic disorders, while treatments for other anxiety disorders are not as profusely considered (Hagopian & Jennet, 2008). Relaxation and desensitization methods were found to be effec-tive in reducing symptoms of anxiety and phobias, but empha-size the lack of intervention methods for complex phobias and general anxiety disorders (Didden et al., 2012). The lack of intervention methods specifically aimed at addressing anxiety in persons with ID motivated the current study.

Anxiety in persons with ID can be associated with challenging behavior (Pruijssers, Van Meijel, Maaskant, Nijssen, & Van Achterberg, 2012) and attachment-based therapy methods might be useful in treating this phenomena (Sterkenburg, Janssen, & Schuengel,2008). Furthermore, a negative association between challenging behavior and attachment behavior in per-sons with ID has been found, while the positive association between the security of an attachment relationship and the

CONTACTP. S. Sterkenburg, PhD p.s.sterkenburg@vu.nl Faculty of Psychology and Education, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands.

Color versions of one or more of the figures in the article can be found online atwww.tandfonline.com/UATY. N. Hoffman and P.S. Sterkenburg contributed equally to this work.

2019, VOL. 31, NO. 2, 98–105

https://doi.org/10.1080/10400435.2017.1371813

© 2017 N. Hoffman, P. S. Sterkenburg, and E. Van Rensburg. Published with license by Taylor & Francis

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

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attachment behavior exhibited by persons with ID is emphasized (De Schipper & Schuengel, 2010). It is known that insecure attachment relationships increase the risk of developing SA (Greenberg,1999). It can thus be reasoned that a secure attach-ment relationship and attachattach-ment-based therapy may contribute to secure attachment behavior, which will in turn decrease challenging behavior (aggressive and intrusive behavior) and SA experienced by the person with ID (seeFigure 1).

Insecure attachment relationships (Berlin, Cassidy, & Appleyard, 2008) and psychopathology (Ansell, Sanislow, McGlashdan, & Grilo,2007; Rodriguez, Bruce, Pagano, & Keller,

2005) including anxiety disorders (Ansell et al., 2007; Beard, Weisberg, & Keller, 2010; D’Avanzato et al., 2013; Essau, Lewinsohn, Olaya, & Seeley,2014) can impair psychosocial func-tioning and quality of life (QOL). Therefore, the aim of treatment should no longer be to only alleviate symptoms, but also to increase psychosocial functioning and QOL (Caldirola et al.,

2014; Moitra et al.,2014). Rodriguez and colleagues (2005) rein-forced this argument by demonstrating that poor psychosocial functioning significantly increases the risk of relapse in recovered persons who suffered from anxiety. The current study therefore aimed to address SA and challenging behavior through the use of an attachment theory-based intervention to increase the psycho-social functioning and QOL of persons with ID.

Various studies demonstrated the possibility of successfully incorporating the use of technology into education (Davidson,

2012), skill attainment, learning, and task management (Mechling,2011). However, research to date regarding the appli-cation of electronic technologies in intervention methods for persons with ID is merely preliminary (Mechling,2011). Further research is thus needed to explore the benefits of technology for the ID population (Scherer,2012). A systematic review reported five studies using mobile technology to teach cognitive concepts such as daily living skills, vocational skills, safety skills, time perception, and imagination (Den Brok & Sterkenburg, 2015). Two of these studies showed effective teaching of emotion con-cepts through the use of mobile technology. They also reported that advanced technologies such as virtual reality were used effectively to facilitate the attainment of cognitive and emotion concepts. Thus, it follows that advanced technology might con-tribute to the learning of an abstract concept such as person permanence, although this has not been studied before.

This study intended to determine the efficacy of technology assisted therapy for SA (TTSA) in lowering SA and challenging behavior in persons with ID and a visual impairment. The main

aim of the study was to determine whether SA levels experienced and challenging behavior exhibited by the participants decreased throughout the therapy, and whether this reduction had an influ-ence on the psychosocial functioning and QOL of the participants.

Methods Design

A pre-experimental (AB1C1B2C2D) within-group design with multiple baselines and staggered intervention start-points was used. Phase A was preceded by a 2-week training period, during which the participants were introduced to the technology. During phase A, the participants used the iPhone without receiving any response. During phase B1, the participants sent messages and received an automatic response from a computer. The duration of this phase varied between 11 and 21 days. During Phase C1, the computer response was replaced by a response from the caregiver. In addition, all exchanged messages were discussed during the subsequent meeting between the caregiver and participant according to a set protocol. This intervention phase continued for 3 weeks. Phases B and C were repeated (B2and C2) for 3 weeks each. At the beginning of phase D, the participants returned the iPhones and a follow-up discussion was facilitated with the parti-cipants regarding their experience of the intervention, while the caregivers conveyed their perceptions by completing a question-naire. The total time frame of the six phases was 17 to 18 weeks. This AB1C1B2C2D design was implemented to determine whether only technology is needed to obtain success, or whether the caregivers’ involvement is crucial to optimize the effect of the intervention. These results were reported by Jonker, Sterkenburg, and Van Rensburg (2015). In the current study, we examine the effect of TTSA over time, from the first intervention phase (B) to the follow-up 3 weeks after the treatment ended (D).

Randomized multiple-baselines with staggered interven-tion start-points were used. To determine the start-point of the intervention phase, a randomized phase start-point model was used. When a multiple baseline design is used to measure standards, a minimum of six phases must be included, each with a minimum of five data points (Kratochwill et al.,2012). A random selection from points 8–21 determined the start-point of the intervention phase. Thus, 14 potential start-start-points could be identified. To increase randomization, the rando-mized phase start-point model was repeated to determine

Figure 1.Indication of the relationship between key constructs.

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three final phase start-points (blocks). To ensure a staggered design, the number of measure points in the B-phase of each block differed with at least four measure points compared to the other blocks (Bulté & Onghena,2009). The start-point in the intervention phase of block two could therefore be initiated from measure point 12 onward. Likewise, the inter-vention phase (C1) of block three might have started from measure point 16 onward. By means of the randomized pro-cedure, it was decided that the B1phase would last 10 days for block one, 15 days for block two, and 20 days for block three. The first three participants were randomly assigned to a block each. Participants 4 to 6 were then allocated using the same procedure. Refer toTable 1for an illustration of the staggered design.

Participants

The sample consisted of six adults with visual and IDs who reside in group homes at an organization in the Netherlands and were purposively selected. The inclusion criteria specified that participants had to be older than 18 years, have a mod-erate to mild ID (IQ between 40 and 70) with a visual impairment according to the World Health Organization (World Health Organization,1980) standards, experience SA in the absence of the caregiver, and be physically able to operate a mobile phone. Potential participants who were deaf and/or presented with autism were excluded. Although SA therapies are more commonly developed for children, this study specifically included adults only as there are no known therapies available for this population. The participants’ demographical information is listed inTable 2. General com-plaints brought on by SA include physical symptoms (head-aches, abdominal pain, back pain), nervousness, nightmares, behavioral problems, diminished social contact, and excessive worrying, especially that something will happen to the care-giver causing them not to return. All the carecare-givers who participated in the study were well-trained to provide specia-lized care.

All the participants agreed to partake in this study by providing informed consent. Medical ethical approval for the study was acquired from the Vrije University Medical Centre Medical-Ethical Review Board (NL33646.029.11).

Intervention

TTSA addresses SA by teaching the participants the concept of person permanence through repetition and by providing a secure base and safe haven for the participant. The treatment

combined the use of a specifically adjusted mobile phone (iPhone touch) with face-to-face communication. The mobile phone was adapted in such a way that it enabled optimal utilization of the technology by the target group. A simple, downloadable application (app) made it possible for the par-ticipants to send fixed messages regarding their moods to their caregiver when they were physically apart from each other. These conveyed the emotions happy, sad, angry, and anxious, with an option to ask for help. On each account where a participant sent a message, he/she chose the applic-able option that corresponded with his/her emotion and selected it by tapping on the screen. An audible prompt asked the participant to confirm their message before it was sent. The participant either approved or cancelled the mes-sage. The caregivers responded to messages with a fixed message on a similar device. For example, if the participant sent the message “I am sad,” the caregiver replied with the corresponding option“you are sad,” thus acknowledging the sender’s emotion. During subsequent meetings between the participant and caregiver, each exchanged message was dis-cussed according to an attachment-based protocol (Jonker et al., 2015). The protocol was based on the Circle of Security (Marvin, Cooper, Hoffman, & Powell, 2002), in which the caregivers received training to react in such a way that a secure attachment relationship is stimulated. For a more in-depth description of the intervention method, refer to Jonker and colleagues (2015). A child lock function pre-vented the participant from accidentally exiting the app, while for visually impaired participants, a pouch fitted with Braille words indicated the message options alongside the screen options.

Measures and procedure

Participants were identified for possible inclusion in the study by confirming a diagnosis of SA. First, potential participants’ files were examined for behavior indicating SA. The psycho-pathology inventory for mentally retarded adults (PIMRA) was conducted to assess anxiety and to confirm the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) criteria for SA. Participants were invited to take part in the study following a clinical diagnostic assess-ment by experienced therapists working in the field of ID verifying their ID diagnosis.

The effect of the intervention was determined by monitor-ing the changes in levels of (separation) anxiety, challengmonitor-ing behavior, psychological functioning, social functioning, and QOL by administering a battery of standardized instruments

Table 1.Randomized multiple-baseline blocked phase-order randomly paired with 21 time periods, and 14 C1potential start-points.

Time period Participant Block 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 1 1 B1 B1 B1 B1 B1 B1 B1 C1* C1 C1 C1 C1 C1 C1 4 1 B1 B1 B1 B1 B1 B1 B1 C1 C1 C1 C1 C1 C1 C1 2 2 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 C1* C1 C1 C1 C1 C1 C1 5 2 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 C1 C1 C1 C1 C1 C1 C1 3 3 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 C1* C1 C1 C1 C1 C1 6 3 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 C1 C1 C1 C1 C1 C1

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at the end of each phase in the intervention. These were administered by an independent researcher. The frequency of each type of message was recorded for each participant throughout the intervention. The professional caregivers in the participants’ residential homes were instructed to record the frequency and intensity of the behavior of the participants (e.g., distress, behavioral problems, clinging behavior, anxiety) while the participants were at home and at work. A web-based computerized data collection system, Qualtrics, was used for the daily reporting of challenging behavior. This took approximately 5 minutes and the caregivers were notified by a computerized reminder to record the behavior.

Standardized instruments

Adult behavior checklist for ages 18–59 (ABCL)

The anxious/depressed, aggressive behavior, intrusive, and withdrawn syndrome scales were used to measure the changes in SA, challenging behavior and loneliness. The ABCL was found to be a reliable and valid measure for the assessment of psychopathology in persons with mild ID (Tenneij & Koot,

2007).

Brief symptom inventory (BSI)

The BSI total scale was used to measure psychosocial func-tioning, and the anxiety subscale measured changes in SA symptoms. The BSI total scale internal consistency and the anxiety subscale internal consistency are α = 0.96 and α = 0.82, respectively (Wieland, Wardenaar, Fontein, & Zitman,2012).

PIMRA

The anxiety subscale of the PIMRA was completed. The internal consistency for the anxiety scale was found to be α = 0.63, which is considered to be a modest to adequate

internal consistency (Van Minnen, Savelsberg, & Hoogduin,

1994).

IDQOL

The IDQOL, with a 5-point Likert-type scale, measures QOL in persons with ID and presents an adequate internal consistency (α = 0.86; Hoekman, Douma, Kersten, Schuurman, & Koopman, 2001).

Data analysis

Non-parametric Friedman tests were used to compare the results of the various instruments at different time points for each participant. Then, a meta-analysis according to Fisher’s method (De Weerth & Van Geert,2002) was com-pleted for each questionnaire by combining the p-values of the non-parametric Friedman tests, respectively. A natural logarithm was calculated for each p-value. The chi-squared deviation was determined by multiplying the sum of the natural logarithms by –2. The number of p-values multi-plied by 2 was used as the degrees of freedom. P-values of <0.005 were substituted with 0.01 to avoid the possibility of grounding the significance on only the one p-value. In cases where the change in the variable was not in the anticipated direction, the p-value was replaced with 0.5 (Birnbaum,

1955; De Weerth & Van Geert, 2002). It was hypothesized that the result would show an overall decrease in SA levels and challenging behavior, with an increase in psychosocial functioning and QOL.

To account for missing scores on the questionnaires, the mean of the scores adjacent to the missing value were calculated and imputed. In the case where two or more scores from a single item were missing, the item was removed from the results. Questions enquiring about employment were excluded as well

Table 2.Characteristics of the six participants.

Participant Sex Age Living and working environment Visual impairment Mobility 1 Male 27 ● Resides in group home during the week.

● Spends weekends with family. ● Delivers mail during the day. ● Needs constant supervision.

Visually impaired Bound to wheelchair - spasticity

2 Male 50 ● Resides in a group home.

● Works as paper shredder 3 days per week. ● Attends day time activities 2 days per week. ● No constant supervision needed.

● Substitute caregivers used during study due to sick leave taken by full-time caregivers.

Visually impaired Mobile

3 Male 48 ● Resides in a group home.

● Works 5 days per week (bicycle maintenance). ● No constant supervision needed.

Visually impaired Mobile

4 Male 56 ● Resides in a group home. ● Works 5 days a week (logging). ● No constant supervision needed. ● Ill during study period.

Visually impaired Mobile

5 Male 53 ● Resides in a group home. ● Works 4 days a week (cleaning). ● No constant supervision needed.

Differentiate only between light and dark

Mobile

6 Female 38 ● Resides in a group home. ● Works 5 days a week (industrial). ● Constant supervision.

Blind Mobile

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as those that upset certain participants such as enquiries about death and suicide.

Non-parametric Friedman tests were used to test the fre-quency of the various messages sent. These scores were meta-analytically combined according to Fisher’s method (De Weerth & Van Geert, 2002). The authors hypothesized that the frequency of anxious, sad, and angry messages would decrease, while the frequency of happy messages would increase or remain stable. The frequency of the help messages was expected to decrease or stay constant. All messages sent were inspected visually to identify outliers. One single data point was considered to be an outlier as it indicated that a single message option was repetitively sent in a short time frame, and was altered into a missing value.

The various behavior options in the list used for the daily observations of behavior in the residential homes and work environment of the participants were grouped according to SA behavior, challenging behavior, and posi-tive behavior. SA behavior included stress, anxiety, and clinging behavior. The frequency and intensity of these behaviors were recorded daily.

Results Anxiety

The SA experienced by the participants decreased significantly throughout the intervention (seeFigure 2). The Fisher’s

com-bination of p-values showed a significant decrease on the PIMRA anxiety subscale (combined χ2 deviation = 25.45, p < 0.025). The meta-analytically combined p-value results for the anxiety subscale of the BSI (combined χ2 devia-tion = 25.34, p < 0.025) showed a significant decrease over time. The combined result of the Friedman test p-values on the ABCL-caregiver anxiety subscale showed a significant decrease in anxiety (combined χ2 deviation = 31.8, p < 0.005).Table 3 shows the mean scores andχ2-values of the PIMRA and BSI, whileTable 4shows the mean scores and χ2-values of the ABCL. The combined result of the Friedman test for the frequency of anxiety messages sent showed a significant decrease during the course of the intervention (combinedχ2deviation = 36.89, p < 0.001).

The frequency of the anxiety behavior observed by the caregivers decreased for four participants (participants 3, 4,

An xi ous messa ges se nt per day Day

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5, and 6) in the living environment and three participants (participants 3, 4, and 6) at work. For three of the partici-pants (participartici-pants 3, 4, and 5), the intensity of anxious behavior (stress, anxiety, and clinging behavior) showed a decrease in the living environment; and for three partici-pants (participartici-pants 3, 4, and 6), the results showed a decrease in the working environment.

Challenging behavior

The challenging behavior exhibited by the participants dur-ing the intervention also showed a significant decrease. The combined p-values of the non-parametric Friedman test on the total scale of the ABCL-caregiver questionnaire showed significantly less challenging behavior from the start to the end of therapy (combinedχ2 deviation = 34.89, p < 0.001). A similar result was found in the combined non-parametric Friedman results of the ABCL-caregiver aggressive subscale (combinedχ2deviation = 50.12, p < 0.001), as well as in the combined non-parametric Friedman results of the ABCL-caregiver intrusive subscale (combinedχ2 deviation = 39.86, p < 0.001). Apart from participant 2, all the participants showed a decrease in the frequency of angry messages sent as indicated by the non-parametric Friedman test. A meta analysis of these results showed that angry messages were sent significantly less as therapy progressed (combined χ2 deviation = 29.37, p < 0.005).

Psychosocial functioning and QOL

Psychological functioning increased significantly, as indicated by the combined non-parametric Friedman test results on the BSI total scale (combinedχ2deviation = 55.26, p < 0.001). The Friedman test results of the ABCL-caregiver withdrawn scale, when meta-analytically combined, showed a significant increase in social functioning (combinedχ2deviation = 26.11, p < 0.025). The combined non-parametric Friedman test result for the ABCL-friends questionnaire used for social functioning did not indicate a significant change. Excluding participant 2, all the participants sent less sad messages as therapy progressed. The non-parametric Friedman test results combined showed a significant decrease (combinedχ2 devia-tion = 24.97, p < 0.025).

QOL measurements increased significantly, as indicated by the combined Friedman results for the IDQOL total scale (combined χ2 deviation = 48.46, p < 0.001). The combined Friedman test results on the frequency of happy messages sent indicated a significant increase in such messages throughout the intervention period (combined χ2 deviation = 23.96, p < 0.005). Lastly, the Friedman test on the messages asking for help showed a significant decrease throughout the inter-vention (combinedχ2deviation = 31.74, p < 0.005).

Discussion

The results of this research indicate that TTSA indeed has the potential to be considered a valid intervention to address SA in adults with visual and moderate to mild ID, and introduces the possibility of using technology to teach abstract concepts such as person permanence.

Mixed results were found for participant 2 with decreased anxiety indicated by one questionnaire as well as the daily messages sent, while the other measures show an increase in anxiety. Unfortunately, his regular caregivers were not avail-able throughout the intervention, which might have intro-duced bias. The daily observations recorded by the caregivers showed less frequent and intense anxiety behavior for three participants. However, being a subjective rating, the larger number of caregivers rating behavior might have led to inconsistent results. The combined results of the six

Table 3.Mean and standard deviation (SD) of the anxiety levels at the start and end of the intervention. Instrument Participant

First phase of intervention mean (SD)

Last phase of intervention

mean (SD) χ2(df)

BSI anxiety subscalea 1 2.5 (1.05) 4.0 (0.0) 19.35 (6)

2 2.5 (1.05) 3.0 (0.0) 5.45 (6)

3 2.33 (1.03) 3.00 (0.89) 8.19 (6)

4 1.33 (0.52) 2.5 (0.84) 20.43 (6)**

5 3.17 (0.98) 3.33 (1.52) 4.78 (6)

6 2.00 (1.55) 1.83 (1.33) 13.36 (6)*

PIMRA total scaleb 1 1.43 (0.53) 1.43 (0.53) 8.4 (6)

2 1.57 (0.53) 1.71 (0.49) 3.82 (6)

3 1.57 (0.53) 1.43 (0.53) 12.00 (6)

4 2.00 (0.00) 2.00 (0.00) 20.9 (6)**

5 1.43 (0.53) 1.29 (0.49) 6.55 (6)

6 1.86 (0.38) 1.43 (0.53) 9.93 (6)

Notes.an = 6;bn = 7. BSI: High scores indicate decreased anxiety; PIMRA: Low scores indicate decreased anxiety. For the Friedman meta-analysis: when there was a decrease in the BSI anxiety subscale score, the results of the p-value was replaced with 0.5; and when there was an increase in the PIMRA total scale score, the results of the p-value was replaced with 0.5. *p < 0.05; **p < 0.005.

Table 4.Mean and standard deviation (SD) of the anxiety levels at the start and end of the intervention for the ABCL-caregiver anxiety subscale.

Participant First phase of intervention mean (SD) Last phase of intervention mean (SD) χ 2 (df 6, n = 14) 1 1.36 (0.74) 0.71 (0.61) 17.56** 2 1.36 (0.50) 1.43 (0.65) 26.3** 3 0.71 (0.61) 0.64 (0.50) 10.57 4 1.93 (0.27) 2.00 (0.00) 55.20** 5 0.79 (0.58) 0.50 (0.65) 7.96 6 0.64 (0.74) 1.14 (0.77) 16.52*

Notes. Low scores indicate decreased anxiety. For the Friedman meta-analysis: when there was an increase in the ABCL-caregiver anxiety subscale score, the results of the p-value was replaced with 0.5. *p < 0.05; **p < 0.005.

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participants indicate an overall decrease in anxiety, which demonstrate promising prospects for the treatment of SA in this population in the context of a dearth of existing research. The combined results for the complete battery of instruments used to measure challenging behavior also showed a signifi-cant decrease as therapy progressed. These results concur with other studies, which found that challenging behavior in per-sons with ID decreased when an attachment-based interven-tion was applied (De Schipper & Schuengel, 2010; Sterkenburg et al.,2008).

The increase in social functioning, the decrease in sad messages sent, the increase in happy messages sent, and the decrease in both SA experienced and challenging behavior exhibited by the participants due to TTSA reduced the risk of them experiencing diminished psychosocial functioning and improved QOL. Four questions regarding the partici-pants’ friends did not yield significant results, which can be explained by the time frame of the intervention being too short to measure change in this domain. The results indicative of the increased psychosocial functioning and QOL are, how-ever, overwhelming, and it can thus be concluded that TTSA, by successfully decreasing (separation) anxiety and challen-ging behavior, can increase the psychosocial functioning and QOL of persons with ID.

Mobile technology proves to hold many benefits for the user (Davidson, 2012; Stock, Davies, Wehmeyer, & Palmer,

2008), and it is therefore important to further examine the possibilities of mobile technology in the treatment of persons with ID (Scherer,2012). It is furthermore noteworthy that this is, to our knowledge, the only study—together with Jonker and colleaues (2015)—which explored the inclusion of

tech-nology in the treatment of SA in persons with ID. It thus stands to reason that more research in this field is necessary. Davidson (2012) found that, as with any other consumer of technological devices, the participants in her study were more inclined to use the technology for music, films, and games than for learning purposes. Keeping the participant engaged in the therapeutic application of the device poses a challenge for future technologically-based interventions.

Limitations

Although the software for this technology was specially devel-oped and the hardware adapted for the ID population, the high number of cancelled messages can indicate that the participants frequently made errors. Further research needs to be conducted into the reason for this to optimize the technology for the target group. The standardized instruments measuring anxiety in this study is designed to measure overall anxiety levels, while TTSA aims to decrease specifically SA. To our knowledge, no instrument dedicated to measuring SA is available. In spite of this limitation, the results are able to show a decrease in anxiety.

Insecure attachments and limited cognitive skills specifi-cally related to the development of object and person perma-nence give rise to SA in persons with ID. Although this research shows the positive influence of TTSA on the anxiety experienced by the participant, its influence on the attach-ment relationship itself and whether it addresses cognitive

skill such as person/object permanence is unknown. Further research into these secondary aims is needed to confirm the theoretical underpinnings of TTSA.

The long-term effects of the intervention could not be estab-lished due to the time frame of the study. However, the authors are confident that the participants did not become dependent on the device, as shown by the fact that none of the participants requested to use the technology after the final phase of the intervention. This points to the possibility of TTSA working on a level beyond the technology itself, and may provide insight into latent functions of the therapy method.

Conclusion

It is acknowledged that while the hypothesis posited at the outset of this research was confirmed by the preliminary results, further research on larger sample sizes is necessary to confirm the results and to determine the long-term sustainability of the intervention effects. Nevertheless, in pursuit of advocating the cause of a vulnerable population, the authors wish to raise the imbalance of resources spent on developing smartphone tech-nologies for the mainstream population compared to the avail-able technologies suitavail-able for the ID population.

Acknowledgments

The authors specially thank Wilco den Brok for the data gathering and preparation of the data sets. Carlo Schuengel, the head of the department for Child and Family studies at the Vrije Universiteit Amsterdam, is thanked for his contribution to the article and for hosting one of the authors of this article at his department. The authors convey their gratitude to the independant researchers, Hannelies Hokke and Eva Nijs, for their involvement in this project. Sincere thanks to the clients and caregivers who participated in this study for their time, effort, and participation.

Funding

We kindly thank ZonMW-InZicht (grant ID: 60-00635-98-089), who financially supported this study. For the financial support provided by the VU University Centre for International Cooperation Amsterdam during a period of 3 months stay in The Netherlands, the first author wishes to communicate her sincere gratitude.

ORCID

P. S. Sterkenburg http://orcid.org/0000-0001-6014-7539

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